The Bottom Line: AI implementations are causing COOs unexpected loss of control and complexity instead of promised automation, as technology speed, lack of employee adoption, and missing operational clarity converge.
At the Fortune COO Summit, operational leaders from Nike, Sysco and Box warn of the gap between AI hype and operational reality. Rather than simplifying work, the technology is making process control difficult for many organizations and creating new complexities.
At the annual Fortune COO Summit, leading operations executives from global companies voiced a central concern: the practical deployment of AI systems is not meeting expectations of seamless automation. Rather than autonomously handling routine tasks in logistics, forecasting, compliance and customer service, the technology is making many business processes initially less predictable and more error-prone.
A core problem lies in the discrepancy between technological speed and operational clarity. Venkatesh Alagirisamy, Executive Vice President and COO of Nike, explicitly warned: “The biggest challenge I can see is speed without clarity. I see a lot of hype around AI that releases a lot of energy in organizations to want to deploy AI, but without that clarity, without that sense of purpose, this speed could take us in the wrong direction.” When algorithms accelerate processes without precisely defined operational objectives, the risk emerges of scaling wrong decisions in real time.
A second obstacle emerges in employee adoption. Olivia Nottebohm, COO of cloud storage and security service Box, reported surprisingly low usage rates for internally deployed AI tools. Analysis revealed that low adoption was not based on conscious refusal, but on fundamental confusion about how to correctly handle and integrate the tools into daily work. Box responded with mandatory training programs to close this implementation gap.
The challenges intensify with the deployment of autonomous AI agents that are integrated directly into hierarchical organizational structures. Here, COOs face a new control problem: decision-making is shifting in part to systems whose output and reasoning cannot be immediately traced. Nike addresses these deficits through decentralized, employee-curated learning platforms, through which thousands of digital trainings were completed in the reporting year.
Source: www.it-daily.net · Published 30 June 2026
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